ARM Edge Computer have been widely used in the field of Internet of Things (IoT) due to their low power consumption, high performance, and cost-effectiveness. As an open source time series database, InfluxDB performs well in storing and analyzing the massive time series data generated by IoT. Combining the two can build an efficient and reliable IoT data platform.

Advantages of ARM industrial computers in the IoT field

• Low power consumption: ARM architecture has lower power consumption and can run 7*24 hours a day, stable and low power consumption
• High performance: It can process a large amount of sensor data in real time to meet the real-time requirements of IoT.
• Cost-effectiveness: Compared with industrial computers with x86 architecture, it has lower cost and reduces deployment costs.
• Miniaturization: It has a small appearance and is suitable for deployment in a small space.

Advantages of InfluxDB in IoT data storage and analysis

• High-performance writing: Ability to efficiently write large amounts of time series data.
• Flexible data model: Supports multiple data types and tags, and can flexibly store various IoT data.
• Powerful query function: Provides a rich query language that can perform complex analysis on time series data.
• High availability: Supports cluster deployment to improve system reliability.

Typical application scenarios of ARM Edge Computer with InfluxDB

• Industrial IoT: Collect various sensor data of production equipment, conduct real-time monitoring and analysis, and optimize the production process.
• Smart home: Collect the operating status data of home devices to realize the automatic control of smart home.
• Environmental monitoring: Collect environmental sensor data, monitor environmental quality, and achieve environmental protection.

IoT System architecture

• Sensor: Collects various physical quantity data, such as temperature, humidity, pressure, etc.
• ARM Edge Computer: Collects sensor data and writes it to InfluxDB.
• InfluxDB: Stores and manages time series data, and provides query and analysis interfaces.
• Front-end application: Based on InfluxDB data, develops various visualization applications to display and analyze data. Grafana, IgnitionSCADA etc.,

Technical implementation details

• Data collection: Use C/C++, Python and other languages to write data collection programs and communicate with sensors through RS485/RS232, CAN/GPIO/DIN/DO/AIN/AO/RTD/TC etc.,
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• Data writing: Use the InfluxDB client library to write the collected data to InfluxDB.
• Data query: Use InfluxDB's query language (Flux) to query and analyze the stored data.
• Data visualization: Use visualization tools such as Grafana and Kibana to visualize the query results.

ARM Edge Computer with InfluxDB are a very suitable solution for IoT applications. Through reasonable design and configuration, an efficient and reliable IoT data platform can be built to provide strong support for various IoT applications.

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